Transfer function based question

In summary: I feel like the asker is looking for a specific answer, and it's hard to tell what it is.In summary, to increase the number of poles in a system, we need to include a zero at infinity with a multiplicity of (m-n), where m is the degree of the denominator polynomial and n is the degree of the numerator polynomial. However, if the transfer function is proper, meaning the degree of the denominator is greater than or equal to the degree of the numerator, we cannot add a pole without also adding a zero at infinity.
  • #1
Dhruv
27
0

Homework Statement


In order to increase number of poles in system we need to include
A) zero at origin
B) zero at infinity
C) pole at origin
D) pole at infinity

Homework Equations


[/B]

The Attempt at a Solution


Aren't the options linked ? I mean zero at infinity means a pole at origin and ques is already giving pole at origin as an option (c) while pole at infinity is itself a zero at origin I guess.
 
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  • #2
I assume that the question concerns number of poles/zeroes in the controller of the system ? ( The number of poles/zeroes in the whole system will be affected by that).

But which domain are you referring to ?

Laplace domain (analog control) ?

z-domain (digital control) ?
 
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  • #3
Hesch said:
I assume that the question concerns number of poles/zeroes in the controller of the system ? ( The number of poles/zeroes in the whole system will be affected by that).

But which domain are you referring to ?

Laplace domain (analog control) ?

z-domain (digital control) ?
If it were z-domain he would say, zero at orgin or zero at mag of 1, etc
 
  • #4
Dhruv said:

Homework Statement


In order to increase number of poles in system we need to include
A) zero at origin
B) zero at infinity
C) pole at origin
D) pole at infinity

Homework Equations


[/B]

The Attempt at a Solution


Aren't the options linked ? I mean zero at infinity means a pole at origin and ques is already giving pole at origin as an option (c) while pole at infinity is itself a zero at origin I guess.

in what way is a zero at infinity a pole at the origin?

(s/inf+1) != 1/s
 
  • #5
Dhruv said:

Homework Statement


In order to increase number of poles in system we need to include
A) zero at origin
B) zero at infinity
C) pole at origin
D) pole at infinity

Homework Equations


[/B]

The Attempt at a Solution


Aren't the options linked ? I mean zero at infinity means a pole at origin and ques is already giving pole at origin as an option (c) while pole at infinity is itself a zero at origin I guess.
Noned of the above.,
I can add as many poles as I want to without adding any poles or zeros at the origin.
 
  • #6
An
donpacino said:
in what way is a zero at infinity a pole at the origin?

(s/inf+1) != 1/s
any value of s that make transfer function go to zero is its zero correct? Then if I have a pole at origin and if I keep s = infinity then my transfer function value will will become zero which means there is a zero at infinity.
 
  • #7
Ho
rude man said:
Noned of the above.,
I can add as many poles as I want to without adding any poles or zeros at the origin.
how to do that sir ?
 
  • #8
Dhruv said:
Ho

how to do that sir ?
Give me 10 resistors and 10 capacitors. I can make a transfer function with 10 real and distinct poles with no zeros!
F(s) = 1/Π(s+ai), i = 1 to 10.
 
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Likes Hesch
  • #9
Dhruv said:

Homework Statement


In order to increase number of poles in system we need to include
A) zero at origin
B) zero at infinity
C) pole at origin
D) pole at infinity

Homework Equations


[/B]

The Attempt at a Solution


Aren't the options linked ? I mean zero at infinity means a pole at origin and ques is already giving pole at origin as an option (c) while pole at infinity is itself a zero at origin I guess.

I don't understand the question: What is a "system"? Is it a motor to be position controlled? How do you increase the number of poles (not magnetic poles) in a motor? Or is the "system" a motor + a control loop?

The last mentioned makes sense as we can put as many poles into the controller (well, as many real poles, and as many conjugate polepairs) as we want (rude man). That is not a problem. Just solder a number of op-amps, resistors, capacitors into a PCB. That's it.

When we turn on power a problem may arise: Can we make the system stable? Say we have 19 poles at s = 0 and 1 zero at s = -1. Now loop amplification slowly is increased from 0: The rootcurves will immediately explode, also into the right half of the s-plane (which is the unstable area), and 8 of the roots will never return to stable area.

Have I completely misunderstood, what a "system" eventually might be?
 
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  • #10
But what will be the answer to this question ?
 
  • #11
If you have some transfer function:
$$
G(s) = \frac{N(s)}{D(s)}
$$
where ##N(s)## and ##D(s)## are polynomials of degree ##n## and ##m##, respectively.

If ##G(s) \rightarrow 0## for ##s \rightarrow \infty##, which it does for ##m > n##, then ##G(s)## is said to have a zero at infinity of multiplicity ##m - n##.

If ##G(s)## is proper, then I think the idea is that you can't add a pole without adding a zero at infinity.

The problem statement is somewhat brief.
 

FAQ: Transfer function based question

What is a transfer function?

A transfer function is a mathematical representation of the relationship between the input and output of a system. It is used to describe how a system responds to different inputs and is often used in engineering and physics.

How is a transfer function used in science?

In science, transfer functions are used to understand and analyze the behavior of systems. They can be used to predict the response of a system to different inputs, design systems to achieve desired outputs, and identify potential issues or limitations in a system.

What is the difference between a transfer function and a transfer matrix?

A transfer function is a single equation that describes the relationship between input and output variables, while a transfer matrix is a set of equations that describe the relationship between multiple input and output variables. Transfer matrices are often used for more complex systems with multiple inputs and outputs.

How is a transfer function derived?

A transfer function is derived by taking the Laplace transform of the differential equations that describe a system. This transforms the equations into algebraic equations, which can then be rearranged to solve for the transfer function.

What are the limitations of using transfer functions?

Transfer functions are only accurate for linear, time-invariant systems. They also assume that the system is in steady-state, meaning the behavior does not change over time. Real-world systems may not always meet these criteria, so transfer functions may not accurately represent their behavior.

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